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Welcome to the Netra Wiki

Netra is an AI-Native Attack Surface Management (ASM) platform. It uses a distributed, event-driven architecture to continuously discover assets, map them in a Knowledge Graph, and predict security risks using ML.

Core Documentation

• Architecture Overview: Deep dive into the v2 "ML Systems" design (Split Workers, Redis Streams, Neo4j).
• Development Setup Guide: How to run the stack locally with Docker Compose.
• Contributing: Guidelines for contributing to the Open Core engine.

Key Features

• Recursion & Discovery: Automates subdomain enumeration and port scanning.
• Knowledge Graph: Maps relationships (e.g., Domain -> IP -> Vulnerability).
• Hybrid Analysis: Combines modern Python async workers with legacy Ruby scripts.
• ML-Ready: Dedicated CPU-bound workers for inference and false positive reduction.

🔗 Quick Links

• GitHub Repository
• Discussions
• Issues